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<div class="textblock"><code>#include &lt;vector&gt;</code><br />
<code>#include &lt;<a class="el" href="../../d0/d9c/core_2include_2opencv2_2core_8hpp.html">opencv2/core.hpp</a>&gt;</code><br />
<code>#include &quot;<a class="el" href="../../d5/d2c/async_8hpp.html">opencv2/core/async.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="../../da/d1a/dnn_2include_2opencv2_2dnn_2version_8hpp.html">../dnn/version.hpp</a>&quot;</code><br />
<code>#include &lt;<a class="el" href="../../df/de6/dict_8hpp.html">opencv2/dnn/dict.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="../../d4/db0/layer_8hpp.html">opencv2/dnn/layer.hpp</a>&gt;</code><br />
<code>#include &lt;opencv2/dnn/dnn.inl.hpp&gt;</code><br />
<code>#include &lt;<a class="el" href="../../d8/dcd/inference__engine_8hpp.html">opencv2/dnn/utils/inference_engine.hpp</a>&gt;</code><br />
</div><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
Classes</h2></td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/dbb/classcv_1_1dnn_1_1BackendNode.html">cv::dnn::BackendNode</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Derivatives of this class encapsulates functions of certain backends.  <a href="../../d2/dbb/classcv_1_1dnn_1_1BackendNode.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../df/d7b/classcv_1_1dnn_1_1BackendWrapper.html">cv::dnn::BackendWrapper</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Derivatives of this class wraps <a class="el" href="../../d3/d63/classcv_1_1Mat.html" title="n-dimensional dense array class ">cv::Mat</a> for different backends and targets.  <a href="../../df/d7b/classcv_1_1dnn_1_1BackendWrapper.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d0/dd5/classcv_1_1dnn_1_1ClassificationModel.html">cv::dnn::ClassificationModel</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class represents high-level API for classification models.  <a href="../../d0/dd5/classcv_1_1dnn_1_1ClassificationModel.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/df1/classcv_1_1dnn_1_1DetectionModel.html">cv::dnn::DetectionModel</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class represents high-level API for object detection networks.  <a href="../../d3/df1/classcv_1_1dnn_1_1DetectionModel.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../db/ddd/classcv_1_1dnn_1_1KeypointsModel.html">cv::dnn::KeypointsModel</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class represents high-level API for keypoints models.  <a href="../../db/ddd/classcv_1_1dnn_1_1KeypointsModel.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/d6c/classcv_1_1dnn_1_1Layer.html">cv::dnn::Layer</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This interface class allows to build new Layers - are building blocks of networks.  <a href="../../d3/d6c/classcv_1_1dnn_1_1Layer.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../db/db6/classcv_1_1dnn_1_1LayerParams.html">cv::dnn::LayerParams</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class provides all data needed to initialize layer.  <a href="../../db/db6/classcv_1_1dnn_1_1LayerParams.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d3/df0/classcv_1_1dnn_1_1Model.html">cv::dnn::Model</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class is presented high-level API for neural networks.  <a href="../../d3/df0/classcv_1_1dnn_1_1Model.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../db/d30/classcv_1_1dnn_1_1Net.html">cv::dnn::Net</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class allows to create and manipulate comprehensive artificial neural networks.  <a href="../../db/d30/classcv_1_1dnn_1_1Net.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../da/dce/classcv_1_1dnn_1_1SegmentationModel.html">cv::dnn::SegmentationModel</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class represents high-level API for segmentation models.  <a href="../../da/dce/classcv_1_1dnn_1_1SegmentationModel.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d4/de1/classcv_1_1dnn_1_1TextDetectionModel.html">cv::dnn::TextDetectionModel</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">Base class for text detection networks.  <a href="../../d4/de1/classcv_1_1dnn_1_1TextDetectionModel.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../db/d0f/classcv_1_1dnn_1_1TextDetectionModel__DB.html">cv::dnn::TextDetectionModel_DB</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class represents high-level API for text detection DL networks compatible with DB model.  <a href="../../db/d0f/classcv_1_1dnn_1_1TextDetectionModel__DB.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d8/ddc/classcv_1_1dnn_1_1TextDetectionModel__EAST.html">cv::dnn::TextDetectionModel_EAST</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class represents high-level API for text detection DL networks compatible with EAST model.  <a href="../../d8/ddc/classcv_1_1dnn_1_1TextDetectionModel__EAST.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../de/dee/classcv_1_1dnn_1_1TextRecognitionModel.html">cv::dnn::TextRecognitionModel</a></td></tr>
<tr class="memdesc:"><td class="mdescLeft">&#160;</td><td class="mdescRight">This class represents high-level API for text recognition networks.  <a href="../../de/dee/classcv_1_1dnn_1_1TextRecognitionModel.html#details">More...</a><br /></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
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Namespaces</h2></td></tr>
<tr class="memitem:d2/d75/namespacecv"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d2/d75/namespacecv.html">cv</a></td></tr>
<tr class="memdesc:d2/d75/namespacecv"><td class="mdescLeft">&#160;</td><td class="mdescRight">"black box" representation of the file storage associated with a file on disk. <br /></td></tr>
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<tr class="memitem:df/d57/namespacecv_1_1dnn"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../df/d57/namespacecv_1_1dnn.html">cv::dnn</a></td></tr>
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Typedefs</h2></td></tr>
<tr class="memitem:ga8a9ab61770c140f0fa2880c90aeae832"><td class="memItemLeft" align="right" valign="top">typedef std::vector&lt; int &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga8a9ab61770c140f0fa2880c90aeae832">cv::dnn::MatShape</a></td></tr>
<tr class="separator:ga8a9ab61770c140f0fa2880c90aeae832"><td class="memSeparator" colspan="2">&#160;</td></tr>
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Enumerations</h2></td></tr>
<tr class="memitem:ga186f7d9bfacac8b0ff2e26e2eab02625"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga186f7d9bfacac8b0ff2e26e2eab02625">cv::dnn::Backend</a> { <br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga186f7d9bfacac8b0ff2e26e2eab02625a51129aae9bc5df62a3ba95f98008717e">cv::dnn::DNN_BACKEND_DEFAULT</a> = 0, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga186f7d9bfacac8b0ff2e26e2eab02625ab066325cd703cf32062246e77dca4a76">cv::dnn::DNN_BACKEND_HALIDE</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga186f7d9bfacac8b0ff2e26e2eab02625a6d17a7450b1e077ac91faa10a1e85486">cv::dnn::DNN_BACKEND_INFERENCE_ENGINE</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga186f7d9bfacac8b0ff2e26e2eab02625a88591466239dde609ae676cec698a5b1">cv::dnn::DNN_BACKEND_OPENCV</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga186f7d9bfacac8b0ff2e26e2eab02625a91dbe681fc3246a2bd36b04e7b65122f">cv::dnn::DNN_BACKEND_VKCOM</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga186f7d9bfacac8b0ff2e26e2eab02625ab242310e1ca6b405ead9308f4b66971c">cv::dnn::DNN_BACKEND_CUDA</a>
<br />
 }<tr class="memdesc:ga186f7d9bfacac8b0ff2e26e2eab02625"><td class="mdescLeft">&#160;</td><td class="mdescRight">Enum of computation backends supported by layers.  <a href="../../d6/d0f/group__dnn.html#ga186f7d9bfacac8b0ff2e26e2eab02625">More...</a><br /></td></tr>
</td></tr>
<tr class="separator:ga186f7d9bfacac8b0ff2e26e2eab02625"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga709af7692ba29788182cf573531b0ff5"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga709af7692ba29788182cf573531b0ff5">cv::dnn::Target</a> { <br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga709af7692ba29788182cf573531b0ff5a17439f29cc1356016ed533e465b03539">cv::dnn::DNN_TARGET_CPU</a> = 0, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga709af7692ba29788182cf573531b0ff5a45f8ea53f004e52665078a88167c7c08">cv::dnn::DNN_TARGET_OPENCL</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga709af7692ba29788182cf573531b0ff5ab6d2643e6e5a3d0dfaca2ec69fd041b6">cv::dnn::DNN_TARGET_OPENCL_FP16</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga709af7692ba29788182cf573531b0ff5a17d5b540a9ee3ee726f181f309a223b3">cv::dnn::DNN_TARGET_MYRIAD</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga709af7692ba29788182cf573531b0ff5aacc0a9bdf5a6ecfca0bd6557470d5a8e">cv::dnn::DNN_TARGET_VULKAN</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga709af7692ba29788182cf573531b0ff5a03cfa62d77507ae5e32f8aa4e559f331">cv::dnn::DNN_TARGET_FPGA</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga709af7692ba29788182cf573531b0ff5a5d7e050b90e78a923d304c328d16e5f1">cv::dnn::DNN_TARGET_CUDA</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga709af7692ba29788182cf573531b0ff5a36a5a729e39ff249d590ea78170b6968">cv::dnn::DNN_TARGET_CUDA_FP16</a>, 
<br />
&#160;&#160;<a class="el" href="../../d6/d0f/group__dnn.html#gga709af7692ba29788182cf573531b0ff5ac2d885f739eec7f45de4cb7068a93292">cv::dnn::DNN_TARGET_HDDL</a>
<br />
 }<tr class="memdesc:ga709af7692ba29788182cf573531b0ff5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Enum of target devices for computations.  <a href="../../d6/d0f/group__dnn.html#ga709af7692ba29788182cf573531b0ff5">More...</a><br /></td></tr>
</td></tr>
<tr class="separator:ga709af7692ba29788182cf573531b0ff5"><td class="memSeparator" colspan="2">&#160;</td></tr>
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Functions</h2></td></tr>
<tr class="memitem:ga29f34df9376379a603acd8df581ac8d7"><td class="memItemLeft" align="right" valign="top">Mat&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga29f34df9376379a603acd8df581ac8d7">cv::dnn::blobFromImage</a> (InputArray image, double scalefactor=1.0, const Size &amp;size=Size(), const Scalar &amp;mean=Scalar(), bool swapRB=false, bool crop=false, int ddepth=<a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga4a3def5d72b74bed31f5f8ab7676099c">CV_32F</a>)</td></tr>
<tr class="memdesc:ga29f34df9376379a603acd8df581ac8d7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates 4-dimensional blob from image. Optionally resizes and crops <code>image</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.  <a href="../../d6/d0f/group__dnn.html#ga29f34df9376379a603acd8df581ac8d7">More...</a><br /></td></tr>
<tr class="separator:ga29f34df9376379a603acd8df581ac8d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga98113a886b1d1fe0b38a8eef39ffaaa0"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga98113a886b1d1fe0b38a8eef39ffaaa0">cv::dnn::blobFromImage</a> (InputArray image, OutputArray blob, double scalefactor=1.0, const Size &amp;size=Size(), const Scalar &amp;mean=Scalar(), bool swapRB=false, bool crop=false, int ddepth=<a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga4a3def5d72b74bed31f5f8ab7676099c">CV_32F</a>)</td></tr>
<tr class="memdesc:ga98113a886b1d1fe0b38a8eef39ffaaa0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates 4-dimensional blob from image.  <a href="../../d6/d0f/group__dnn.html#ga98113a886b1d1fe0b38a8eef39ffaaa0">More...</a><br /></td></tr>
<tr class="separator:ga98113a886b1d1fe0b38a8eef39ffaaa0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga0b7b7c3c530b747ef738178835e1e70f"><td class="memItemLeft" align="right" valign="top">Mat&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga0b7b7c3c530b747ef738178835e1e70f">cv::dnn::blobFromImages</a> (InputArrayOfArrays images, double scalefactor=1.0, Size size=Size(), const Scalar &amp;mean=Scalar(), bool swapRB=false, bool crop=false, int ddepth=<a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga4a3def5d72b74bed31f5f8ab7676099c">CV_32F</a>)</td></tr>
<tr class="memdesc:ga0b7b7c3c530b747ef738178835e1e70f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates 4-dimensional blob from series of images. Optionally resizes and crops <code>images</code> from center, subtract <code>mean</code> values, scales values by <code>scalefactor</code>, swap Blue and Red channels.  <a href="../../d6/d0f/group__dnn.html#ga0b7b7c3c530b747ef738178835e1e70f">More...</a><br /></td></tr>
<tr class="separator:ga0b7b7c3c530b747ef738178835e1e70f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga2b89ed84432e4395f5a1412c2926293c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga2b89ed84432e4395f5a1412c2926293c">cv::dnn::blobFromImages</a> (InputArrayOfArrays images, OutputArray blob, double scalefactor=1.0, Size size=Size(), const Scalar &amp;mean=Scalar(), bool swapRB=false, bool crop=false, int ddepth=<a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga4a3def5d72b74bed31f5f8ab7676099c">CV_32F</a>)</td></tr>
<tr class="memdesc:ga2b89ed84432e4395f5a1412c2926293c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates 4-dimensional blob from series of images.  <a href="../../d6/d0f/group__dnn.html#ga2b89ed84432e4395f5a1412c2926293c">More...</a><br /></td></tr>
<tr class="separator:ga2b89ed84432e4395f5a1412c2926293c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga9c06b170a462e97b413163aadb9869f9"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga9c06b170a462e97b413163aadb9869f9">cv::dnn::enableModelDiagnostics</a> (bool isDiagnosticsMode)</td></tr>
<tr class="memdesc:ga9c06b170a462e97b413163aadb9869f9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Enables detailed logging of the DNN model loading with CV DNN API.  <a href="../../d6/d0f/group__dnn.html#ga9c06b170a462e97b413163aadb9869f9">More...</a><br /></td></tr>
<tr class="separator:ga9c06b170a462e97b413163aadb9869f9"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gae696268ab18149507033e11531271776"><td class="memItemLeft" align="right" valign="top">std::vector&lt; std::pair&lt; Backend, Target &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gae696268ab18149507033e11531271776">cv::dnn::getAvailableBackends</a> ()</td></tr>
<tr class="separator:gae696268ab18149507033e11531271776"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga60c8fc10b9165cbab988c48f64d22bb4"><td class="memItemLeft" align="right" valign="top">std::vector&lt; Target &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga60c8fc10b9165cbab988c48f64d22bb4">cv::dnn::getAvailableTargets</a> (dnn::Backend be)</td></tr>
<tr class="separator:ga60c8fc10b9165cbab988c48f64d22bb4"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga4051b5fa2ed5f54b76c059a8625df9f5"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga4051b5fa2ed5f54b76c059a8625df9f5">cv::dnn::imagesFromBlob</a> (const <a class="el" href="../../d3/d63/classcv_1_1Mat.html">cv::Mat</a> &amp;blob_, OutputArrayOfArrays images_)</td></tr>
<tr class="memdesc:ga4051b5fa2ed5f54b76c059a8625df9f5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Parse a 4D blob and output the images it contains as 2D arrays through a simpler data structure (std::vector&lt;cv::Mat&gt;).  <a href="../../d6/d0f/group__dnn.html#ga4051b5fa2ed5f54b76c059a8625df9f5">More...</a><br /></td></tr>
<tr class="separator:ga4051b5fa2ed5f54b76c059a8625df9f5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga9d118d70a1659af729d01b10233213ee"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga9d118d70a1659af729d01b10233213ee">cv::dnn::NMSBoxes</a> (const std::vector&lt; Rect &gt; &amp;bboxes, const std::vector&lt; float &gt; &amp;scores, const float score_threshold, const float nms_threshold, std::vector&lt; int &gt; &amp;indices, const float eta=1.f, const int top_k=0)</td></tr>
<tr class="memdesc:ga9d118d70a1659af729d01b10233213ee"><td class="mdescLeft">&#160;</td><td class="mdescRight">Performs non maximum suppression given boxes and corresponding scores.  <a href="../../d6/d0f/group__dnn.html#ga9d118d70a1659af729d01b10233213ee">More...</a><br /></td></tr>
<tr class="separator:ga9d118d70a1659af729d01b10233213ee"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga6e9e67e8d1d8b3a70b55ab9ea715e70d"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga6e9e67e8d1d8b3a70b55ab9ea715e70d">cv::dnn::NMSBoxes</a> (const std::vector&lt; Rect2d &gt; &amp;bboxes, const std::vector&lt; float &gt; &amp;scores, const float score_threshold, const float nms_threshold, std::vector&lt; int &gt; &amp;indices, const float eta=1.f, const int top_k=0)</td></tr>
<tr class="separator:ga6e9e67e8d1d8b3a70b55ab9ea715e70d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gaeec27cb32195e71e6d88032bda193162"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gaeec27cb32195e71e6d88032bda193162">cv::dnn::NMSBoxes</a> (const std::vector&lt; RotatedRect &gt; &amp;bboxes, const std::vector&lt; float &gt; &amp;scores, const float score_threshold, const float nms_threshold, std::vector&lt; int &gt; &amp;indices, const float eta=1.f, const int top_k=0)</td></tr>
<tr class="separator:gaeec27cb32195e71e6d88032bda193162"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga3b34fe7a29494a6a4295c169a7d32422"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga3b34fe7a29494a6a4295c169a7d32422">cv::dnn::readNet</a> (const String &amp;model, const String &amp;config=&quot;&quot;, const String &amp;framework=&quot;&quot;)</td></tr>
<tr class="memdesc:ga3b34fe7a29494a6a4295c169a7d32422"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read deep learning network represented in one of the supported formats.  <a href="../../d6/d0f/group__dnn.html#ga3b34fe7a29494a6a4295c169a7d32422">More...</a><br /></td></tr>
<tr class="separator:ga3b34fe7a29494a6a4295c169a7d32422"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga138439da76f26266fdefec9723f6c5cd"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga138439da76f26266fdefec9723f6c5cd">cv::dnn::readNet</a> (const String &amp;framework, const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferModel, const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferConfig=std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt;())</td></tr>
<tr class="memdesc:ga138439da76f26266fdefec9723f6c5cd"><td class="mdescLeft">&#160;</td><td class="mdescRight">Read deep learning network represented in one of the supported formats.  <a href="../../d6/d0f/group__dnn.html#ga138439da76f26266fdefec9723f6c5cd">More...</a><br /></td></tr>
<tr class="separator:ga138439da76f26266fdefec9723f6c5cd"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga29d0ea5e52b1d1a6c2681e3f7d68473a"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga29d0ea5e52b1d1a6c2681e3f7d68473a">cv::dnn::readNetFromCaffe</a> (const String &amp;prototxt, const String &amp;caffeModel=String())</td></tr>
<tr class="memdesc:ga29d0ea5e52b1d1a6c2681e3f7d68473a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in <a href="http://caffe.berkeleyvision.org">Caffe</a> framework's format.  <a href="../../d6/d0f/group__dnn.html#ga29d0ea5e52b1d1a6c2681e3f7d68473a">More...</a><br /></td></tr>
<tr class="separator:ga29d0ea5e52b1d1a6c2681e3f7d68473a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga5b1fd56ca658f10c3bd544ea46f57164"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga5b1fd56ca658f10c3bd544ea46f57164">cv::dnn::readNetFromCaffe</a> (const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferProto, const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferModel=std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt;())</td></tr>
<tr class="memdesc:ga5b1fd56ca658f10c3bd544ea46f57164"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in Caffe model in memory.  <a href="../../d6/d0f/group__dnn.html#ga5b1fd56ca658f10c3bd544ea46f57164">More...</a><br /></td></tr>
<tr class="separator:ga5b1fd56ca658f10c3bd544ea46f57164"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga946b342af1355185a7107640f868b64a"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga946b342af1355185a7107640f868b64a">cv::dnn::readNetFromCaffe</a> (const char *bufferProto, size_t lenProto, const char *bufferModel=NULL, size_t lenModel=0)</td></tr>
<tr class="memdesc:ga946b342af1355185a7107640f868b64a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in Caffe model in memory.  <a href="../../d6/d0f/group__dnn.html#ga946b342af1355185a7107640f868b64a">More...</a><br /></td></tr>
<tr class="separator:ga946b342af1355185a7107640f868b64a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gafde362956af949cce087f3f25c6aff0d"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gafde362956af949cce087f3f25c6aff0d">cv::dnn::readNetFromDarknet</a> (const String &amp;cfgFile, const String &amp;darknetModel=String())</td></tr>
<tr class="memdesc:gafde362956af949cce087f3f25c6aff0d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.  <a href="../../d6/d0f/group__dnn.html#gafde362956af949cce087f3f25c6aff0d">More...</a><br /></td></tr>
<tr class="separator:gafde362956af949cce087f3f25c6aff0d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gaef8ac647296804e79d463d0e14af8e9d"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gaef8ac647296804e79d463d0e14af8e9d">cv::dnn::readNetFromDarknet</a> (const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferCfg, const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferModel=std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt;())</td></tr>
<tr class="memdesc:gaef8ac647296804e79d463d0e14af8e9d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.  <a href="../../d6/d0f/group__dnn.html#gaef8ac647296804e79d463d0e14af8e9d">More...</a><br /></td></tr>
<tr class="separator:gaef8ac647296804e79d463d0e14af8e9d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga351c327837e9e2d98035487695f74836"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga351c327837e9e2d98035487695f74836">cv::dnn::readNetFromDarknet</a> (const char *bufferCfg, size_t lenCfg, const char *bufferModel=NULL, size_t lenModel=0)</td></tr>
<tr class="memdesc:ga351c327837e9e2d98035487695f74836"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in <a href="https://pjreddie.com/darknet/">Darknet</a> model files.  <a href="../../d6/d0f/group__dnn.html#ga351c327837e9e2d98035487695f74836">More...</a><br /></td></tr>
<tr class="separator:ga351c327837e9e2d98035487695f74836"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga4f3b552113d2bff48a54e168791c448e"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga4f3b552113d2bff48a54e168791c448e">cv::dnn::readNetFromModelOptimizer</a> (const String &amp;xml, const String &amp;bin)</td></tr>
<tr class="memdesc:ga4f3b552113d2bff48a54e168791c448e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a network from Intel's <a class="el" href="../../d3/df0/classcv_1_1dnn_1_1Model.html" title="This class is presented high-level API for neural networks. ">Model</a> Optimizer intermediate representation.  <a href="../../d6/d0f/group__dnn.html#ga4f3b552113d2bff48a54e168791c448e">More...</a><br /></td></tr>
<tr class="separator:ga4f3b552113d2bff48a54e168791c448e"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gac3e76ebe0ac85f45144823be699c2023"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gac3e76ebe0ac85f45144823be699c2023">cv::dnn::readNetFromModelOptimizer</a> (const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferModelConfig, const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferWeights)</td></tr>
<tr class="memdesc:gac3e76ebe0ac85f45144823be699c2023"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a network from Intel's <a class="el" href="../../d3/df0/classcv_1_1dnn_1_1Model.html" title="This class is presented high-level API for neural networks. ">Model</a> Optimizer intermediate representation.  <a href="../../d6/d0f/group__dnn.html#gac3e76ebe0ac85f45144823be699c2023">More...</a><br /></td></tr>
<tr class="separator:gac3e76ebe0ac85f45144823be699c2023"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gad2c5afab20a751d5ac2a587d607023d0"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gad2c5afab20a751d5ac2a587d607023d0">cv::dnn::readNetFromModelOptimizer</a> (const <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> *bufferModelConfigPtr, size_t bufferModelConfigSize, const <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> *bufferWeightsPtr, size_t bufferWeightsSize)</td></tr>
<tr class="memdesc:gad2c5afab20a751d5ac2a587d607023d0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Load a network from Intel's <a class="el" href="../../d3/df0/classcv_1_1dnn_1_1Model.html" title="This class is presented high-level API for neural networks. ">Model</a> Optimizer intermediate representation.  <a href="../../d6/d0f/group__dnn.html#gad2c5afab20a751d5ac2a587d607023d0">More...</a><br /></td></tr>
<tr class="separator:gad2c5afab20a751d5ac2a587d607023d0"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga7faea56041d10c71dbbd6746ca854197"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga7faea56041d10c71dbbd6746ca854197">cv::dnn::readNetFromONNX</a> (const String &amp;onnxFile)</td></tr>
<tr class="memdesc:ga7faea56041d10c71dbbd6746ca854197"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model <a href="https://onnx.ai/">ONNX</a>.  <a href="../../d6/d0f/group__dnn.html#ga7faea56041d10c71dbbd6746ca854197">More...</a><br /></td></tr>
<tr class="separator:ga7faea56041d10c71dbbd6746ca854197"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga9198ecaac7c32ddf0aa7a1bcbd359567"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga9198ecaac7c32ddf0aa7a1bcbd359567">cv::dnn::readNetFromONNX</a> (const char *buffer, size_t sizeBuffer)</td></tr>
<tr class="memdesc:ga9198ecaac7c32ddf0aa7a1bcbd359567"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model from <a href="https://onnx.ai/">ONNX</a> in-memory buffer.  <a href="../../d6/d0f/group__dnn.html#ga9198ecaac7c32ddf0aa7a1bcbd359567">More...</a><br /></td></tr>
<tr class="separator:ga9198ecaac7c32ddf0aa7a1bcbd359567"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gac1a00e8bae54070e5837c15b1482997d"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gac1a00e8bae54070e5837c15b1482997d">cv::dnn::readNetFromONNX</a> (const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;buffer)</td></tr>
<tr class="memdesc:gac1a00e8bae54070e5837c15b1482997d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model from <a href="https://onnx.ai/">ONNX</a> in-memory buffer.  <a href="../../d6/d0f/group__dnn.html#gac1a00e8bae54070e5837c15b1482997d">More...</a><br /></td></tr>
<tr class="separator:gac1a00e8bae54070e5837c15b1482997d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gad820b280978d06773234ba6841e77e8d"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gad820b280978d06773234ba6841e77e8d">cv::dnn::readNetFromTensorflow</a> (const String &amp;model, const String &amp;config=String())</td></tr>
<tr class="memdesc:gad820b280978d06773234ba6841e77e8d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.  <a href="../../d6/d0f/group__dnn.html#gad820b280978d06773234ba6841e77e8d">More...</a><br /></td></tr>
<tr class="separator:gad820b280978d06773234ba6841e77e8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gac9b3890caab2f84790a17b306f36bd57"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gac9b3890caab2f84790a17b306f36bd57">cv::dnn::readNetFromTensorflow</a> (const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferModel, const std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt; &amp;bufferConfig=std::vector&lt; <a class="el" href="../../d1/d1b/group__core__hal__interface.html#ga65f85814a8290f9797005d3b28e7e5fc">uchar</a> &gt;())</td></tr>
<tr class="memdesc:gac9b3890caab2f84790a17b306f36bd57"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.  <a href="../../d6/d0f/group__dnn.html#gac9b3890caab2f84790a17b306f36bd57">More...</a><br /></td></tr>
<tr class="separator:gac9b3890caab2f84790a17b306f36bd57"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:gacdba30a7c20db2788efbf5bb16a7884d"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#gacdba30a7c20db2788efbf5bb16a7884d">cv::dnn::readNetFromTensorflow</a> (const char *bufferModel, size_t lenModel, const char *bufferConfig=NULL, size_t lenConfig=0)</td></tr>
<tr class="memdesc:gacdba30a7c20db2788efbf5bb16a7884d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in <a href="https://www.tensorflow.org/">TensorFlow</a> framework's format.  <a href="../../d6/d0f/group__dnn.html#gacdba30a7c20db2788efbf5bb16a7884d">More...</a><br /></td></tr>
<tr class="separator:gacdba30a7c20db2788efbf5bb16a7884d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga65a1da76cb7d6852bdf7abbd96f19084"><td class="memItemLeft" align="right" valign="top">Net&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga65a1da76cb7d6852bdf7abbd96f19084">cv::dnn::readNetFromTorch</a> (const String &amp;model, bool isBinary=true, bool evaluate=true)</td></tr>
<tr class="memdesc:ga65a1da76cb7d6852bdf7abbd96f19084"><td class="mdescLeft">&#160;</td><td class="mdescRight">Reads a network model stored in <a href="http://torch.ch">Torch7</a> framework's format.  <a href="../../d6/d0f/group__dnn.html#ga65a1da76cb7d6852bdf7abbd96f19084">More...</a><br /></td></tr>
<tr class="separator:ga65a1da76cb7d6852bdf7abbd96f19084"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga8fe873b1b4746c3ceee80bebb16605d5"><td class="memItemLeft" align="right" valign="top">Mat&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga8fe873b1b4746c3ceee80bebb16605d5">cv::dnn::readTensorFromONNX</a> (const String &amp;path)</td></tr>
<tr class="memdesc:ga8fe873b1b4746c3ceee80bebb16605d5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates blob from .pb file.  <a href="../../d6/d0f/group__dnn.html#ga8fe873b1b4746c3ceee80bebb16605d5">More...</a><br /></td></tr>
<tr class="separator:ga8fe873b1b4746c3ceee80bebb16605d5"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga70a86067eed7e495865cedc175ddba09"><td class="memItemLeft" align="right" valign="top">Mat&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga70a86067eed7e495865cedc175ddba09">cv::dnn::readTorchBlob</a> (const String &amp;filename, bool isBinary=true)</td></tr>
<tr class="memdesc:ga70a86067eed7e495865cedc175ddba09"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads blob which was serialized as torch.Tensor object of Torch7 framework.  <a href="../../d6/d0f/group__dnn.html#ga70a86067eed7e495865cedc175ddba09">More...</a><br /></td></tr>
<tr class="separator:ga70a86067eed7e495865cedc175ddba09"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga5de8769f48b44f631c1767b1700069fa"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga5de8769f48b44f631c1767b1700069fa">cv::dnn::shrinkCaffeModel</a> (const String &amp;src, const String &amp;dst, const std::vector&lt; String &gt; &amp;layersTypes=std::vector&lt; String &gt;())</td></tr>
<tr class="memdesc:ga5de8769f48b44f631c1767b1700069fa"><td class="mdescLeft">&#160;</td><td class="mdescRight">Convert all weights of Caffe network to half precision floating point.  <a href="../../d6/d0f/group__dnn.html#ga5de8769f48b44f631c1767b1700069fa">More...</a><br /></td></tr>
<tr class="separator:ga5de8769f48b44f631c1767b1700069fa"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ga0c3f216f5f858efdef44b68636133dff"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="../../d6/d0f/group__dnn.html#ga0c3f216f5f858efdef44b68636133dff">cv::dnn::writeTextGraph</a> (const String &amp;model, const String &amp;output)</td></tr>
<tr class="memdesc:ga0c3f216f5f858efdef44b68636133dff"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create a text representation for a binary network stored in protocol buffer format.  <a href="../../d6/d0f/group__dnn.html#ga0c3f216f5f858efdef44b68636133dff">More...</a><br /></td></tr>
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